Research On Multi-channel Human-computer Interaction System For Wearable Computer

As smart watches,smart bracelets,etc.are applied to user physical health detection in daily life,smart helmets and eyes are also introduced in the military to perform tasks such as virtual reality and target detection,which all reflect that wearable devices are currently popular in human-computer interaction research.Wearable devices are more closely connected with users than the currently popular smart phones,and while improving the efficiency of human-computer interaction,corresponding problems have also arisen: wearable devices often integrate multiple human-computer interaction channels,if they are not managed and controlled;When sending information,it will cause a waste of system resources,and at the same time it will even more disturb the user's peaceful life.This article uses smart wearable devices as the carrier,which not only integrates the daily interaction methods: touch screen,text,and voice,but also adds a newer technology: gesture recognition.Under the premise of meeting the basic needs of multiple channels,it also makes Corresponding breakthrough: Through the management and control of the channel in the human-computer interaction process,the system can automatically select an appropriate way to communicate with users according to different real-time scenarios.For wearable devices,this paper proposes a multi-channel situational adaptive human-computer interaction system model that integrates text,touch screen,voice,and gestures.For this model,a six-layer processing architecture is designed: physical layer,lexical layer,grammatical layer,semantic layer,forwarding layer,application layer,and design the input and output structure and fusion algorithm of interactive information layer by layer,so that the process of multi-channel human-computer interaction More detailed.A set of multichannel interactive situation adaptive strategy is designed,with channel control as a breakthrough point,multiple task scenes are set in the system in advance,and a certain preset scene is judged by the context-aware technology,and then the preset scene is executed.Startup method: Choose an appropriate way for human-computer interaction;so as to achieve the system can according to the different real-time scenes of the user,through the control of the interaction channel,adaptively select the appropriate way for human-computer interaction.Finally,using Java design on the Android operating system,the multi-channel interactive situation adaptation model,the multi-channel integration algorithm and the situation adaptation strategy were realized,and they were applied to the laboratory horizontal cooperation project.While the interactive system allows users to experience the advantages of conventional multi-channel systems,it also provides a situational adaptive function for some special groups of people.Through interactive testing and functional evaluation,the effectiveness of the multi-channel situational adaptation model,the multi-channel integration algorithm and the situational adaptation strategy is verified.